Collaboration Between Artificial Intelligence and Humans - Curing Every Disease Within 50 Years
Explore the potential of AI-human collaboration in revolutionizing medical research and disease treatment, with the ambitious goal of curing all diseases within half a century.
The Right Token for Next-Token Visual Prediction
Explore next-token visual prediction techniques, examining AI approaches to understanding and generating visual content through lower-level intelligence perspectives.
The Physics of Associative Memory - Exploring Hopfield Networks
Explore Hopfield networks, a foundational model of associative memory in neuroscience and machine learning. Learn about network architecture, inference, learning, and limitations.
How AI Is Unlocking the Secrets of Nature and the Universe
Demis Hassabis explores AI's potential to accelerate scientific discovery, from predicting protein shapes to unraveling mysteries of the mind and universe, showcasing its transformative impact on human knowledge.
Integrating Expertise in LLMs: Crafting a Customized Nutrition Assistant - CHI 2024
Explore the development of a GPT-based nutrition assistant, integrating dietitian expertise to enhance food product explanations and personalized nutrition information generation.
Understanding Lower-Level Intelligence from AI, Psychology, and Neuroscience Perspectives
Explore lower-level intelligence through AI, psychology, and neuroscience perspectives with insights from three experts in a concise, multi-disciplinary discussion.
Principles of Learning in Distributed Neural Networks
Explore how depth shapes learning dynamics in the brain, analyzing deep network models and their implications for neural representations and behavior in rodent studies.
Relational Predictive Reasoning in Brains and Machines
Exploring predictive models in deep learning, comparing AI and brain representations, and discussing Graph Neural Networks for simulating complex dynamical systems.
Physical Problem-Solving in Minds and Machines
Explore cognitive and machine models for flexible physical problem-solving, focusing on object factorization, relations, and physics to enhance efficiency and generalization in AI and natural intelligence.
A Multimodal Automated Interpretability Agent - Understanding Lower-Level Intelligence
Explore a multimodal AI agent for automated interpretability, bridging AI, psychology, and neuroscience to understand lower-level intelligence.
Unlocking the Power of AI for the Greater Good
Explore AI's potential for societal benefit through innovative research, ethical considerations, and real-world applications in this thought-provoking keynote by Ali Farhadi.
AI with a Human Perspective - What We See and What We Value
Explore AI's evolution in visual intelligence, from neuroscience-inspired algorithms to addressing ethical concerns and developing human-centered applications in healthcare and robotics.
Feature Encoded and Multi-Resolution Physics-Informed Machine Learning for Musculoskeletal Digital Twins
Innovative machine learning approaches for musculoskeletal digital twin applications, focusing on parameter identification and motion prediction using surface electromyography signals.
Using EEG and Machine Learning to Perform Lie Detection - YOW! 2017
Explore EEG-based lie detection using Azure Machine Learning. Learn about data collection, model building, and limitations in this innovative experiment combining neuroscience and AI.
Mind Your Mind - Wisdom in the AI Era
Explore human intelligence, neuroplasticity, and AI's impact on cognition. Learn to navigate the evolving human-AI relationship with wisdom and mindfulness in this thought-provoking talk.
Generative AI for Designing Future Medicines - A Biological Revolution
Exploring the revolutionary potential of Generative AI in biology, from designing new medicines to transforming human health and sustainability. Insights from a pioneering entrepreneur in biotech innovation.
Audio-Visual Self-Supervised Learning: Insights from Infant Development
Explore how neural networks learn audio-visual representations from video streams, mimicking infant learning through synchronization of sight and sound.
Error Embraced - Making Trustworthy Scientific Decisions with Imperfect Predictions
Explore prediction-powered inference for valid statistical analysis using machine learning predictions, with applications in proteomics, genomics, and astronomy. Learn about reliable ML-guided decisions in biological sequence design.
Machine Learning-Based Protein Engineering - Insights and Approaches
Explore ML-based protein engineering insights, discussing cutting-edge techniques and potential applications in biotechnology and drug discovery.
Illuminating Protein Space with Generative Models
Explore generative modeling for protein design, focusing on building learning systems that can generalize, scale, and create fit-for-purpose protein complexes on demand.
Self-Driving Cars and the Human Brain - The Missing Link to Intelligence
Explore the connection between self-driving cars and human cognition, uncovering insights into AI decision-making and the future of autonomous vehicles with Minus Zero's CEO.